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| Title Details: | |
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Biological Networks |
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| Authors: |
Nikolaou, Christoforos Chouvardas, Panagiotis |
| Reviewer: |
Bagkos, Panteleimon |
| Description: | |
| Abstract: |
This chapter integrates elements from the two immediately preceding ones and focuses on the study of biological networks. After an introduction to the basic biological concepts, including types of networks (regulatory, metabolic, etc.), it moves on to the real biological problem of extracting a network of regulatory protein interactions from gene expression data. Within the discussion of the problem, basic concepts from network theory (topology, degree, network size, etc.) are introduced, followed by an analysis of the statistical properties of biological networks, emphasizing self-organizing structures, scale-free networks, and power laws. Practical exercises include network extraction and analysis of their statistical properties. By the end of this chapter, you should be able to: Describe the main types of biological networks. Recognize the principal network motifs and their properties. Quantitatively analyze the key characteristics of graphs/networks. Distinguish between random networks and scale-free networks.
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| Type: |
Chapter |
| Creation Date: | 2015 |
| Item Details: | |
| License: |
http://creativecommons.org/licenses/by-nc-nd/3.0/gr |
| Handle | http://hdl.handle.net/11419/1587 |
| Bibliographic Reference: | Nikolaou, C., & Chouvardas, P. (2015). Biological Networks [Chapter]. In Nikolaou, C., & Chouvardas, P. 2015. Computational Biology [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/1587 |
| Language: |
Greek |
| Is Part of: |
Computational Biology |
| Number of pages |
35 |
| Publication Origin: |
Kallipos, Open Academic Editions |